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  1. Xiande Wu, Jie Feng*, Ronghua Shang, Xiangrong Zhang, Licheng Jiao, CMNet: classification-oriented multi-task network for hyperspectral pansharpening, Knowledge-Based Systems, 2022, Accepted. [code]
  2. Jie Feng*, Ning Zhao, Ronghua Shang, Xiangrong Zhang and Licheng Jiao, Self-Supervised Divide-and-Conquer Generative Adversarial Network for Classification of Hyperspectral Images, IEEE Trans. Geosci. Remote. Sens., 2022, doi: 10.1109/TGRS.2022.3202908 IF: 8.2 Q1 . [code]
  3. Xiande Wu, Jie Feng*, Ronghua Shang, Xiangrong Zhang, Licheng Jiao: Multiobjective Guided Divide-and-Conquer Network for Hyperspectral Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022）[code]
  4. Jie Feng*, Dening Zeng, Xiuping Jia, Xiangrong Zhang, Jie Li, Yuping Liang, Licheng Jiao. Cross-frame keypoint-based and spatial motion information-guided networks for moving vehicle detection and tracking in satellite videos. ISPRS Journal of Photogrammetry and Remote Sensing, 2021, 177:116-130. [code]
  5. Jie Feng*, Zhanwei Ye, Shuai Liu, Xiangrong Zhang, Jiantong Chen, Ronghua Shang, Licheng Jiao, Dual-graph convolutional network based on brand attention and sparse constraint for hyperspectral band selection. Knowledge-Based Systems, 2021, 231:107428. [code]
  6. Jie Feng*, Di Li, Jing Gu, Xianghai Cao, Ronghua Shang, Xiangrong Zhang, Licheng Jiao, Deep Reinforcement Learning for Semisupervised Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022). [code] (ESI Most-Cited Paper & ESI Hot Paper)
  7. Jie Feng*, Jiantong Chen, Qigong Sun, Ronghua Shang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Convolution neutral network based on band-wise independent convolution and hard thresholding for hyperspectral band selection[J]. IEEE Transactions on Cybernetics, 2020, doi: 10.1109/TCYB.2020.3000725 IF: 11.8 Q1 . [pdf] [code]
  8. Jie Feng, Yuping Liang, Junpeng Zhang, Xiangrong Zhang, Quanhe Yao, Licheng Jiao: MidNet: An Anchor-and-Angle-Free Detector for Oriented Ship Detection in Aerial Images. CoRR abs/2111.10961 (2021). [code]
  9. Ronghua Shang, Xinlei Zhang, Jie Feng, Yangyang Li, Licheng Jiao: Sparse and low-dimensional representation with maximum entropy adaptive graph for feature selection. Neurocomputing 485: 57-73 (2022).
  10. Jin Zhao, Zixuan Ba, Xianghai Cao, Jie Feng, Licheng Jiao: Deep Mutual-Teaching for Hyperspectral Imagery Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022)
  11. Xianghai Cao, Zuji Liu, Xiangxiang Li, Qian Xiao, Jie Feng, Licheng Jiao: Nonoverlapped Sampling for Hyperspectral Imagery: Performance Evaluation and a Cotraining-Based Classification Strategy. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
  12. Ronghua Shang, Huidong Chang, Weitong Zhang, Jie Feng, Yangyang Li, Licheng Jiao: Hyperspectral Image Classification Based on Multiscale Cross-Branch Response and Second-Order Channel Attention. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)
  13. Ronghua Shang, Mengmeng Liu, Junkai Lin, Jie Feng, Yangyang Li, Rustam Stolkin, Licheng Jiao: SAR Image Segmentation Based on Constrained Smoothing and Hierarchical Label Correction. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022)
  14. Chenhong Sui, Jun Zhou, Chang Li, Qiang Zheng, Jie Feng, Xiaoguang Mei, Jing Wang: Unsupervised Hyperspectral Band Selection With Multigraph Integrated Embedding and Robust Self-Contained Regression. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)
  15. Xiangrong Zhang, Shutong Chen, Peng Zhu, Xu Tang, Jie Feng, Licheng Jiao: Spatial Pooling Graph Convolutional Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022)
  16. Xiangrong Zhang, Shouwang Shang, Xu Tang, Jie Feng, Licheng Jiao: Spectral Partitioning Residual Network With Spatial Attention Mechanism for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022)
  17. Shuai Liu, Jie Feng, Zhiqiang Tian, Varitional low-rank matrix factorization with multi-patch collaborative learning for hyperspectral imagery mixed denoising, Remote Sening, 2021, 13(6), 1101.
  18. Jie Feng*, Xiande Wu, Ronghua Shang, Chenhong Sui, Jie Li, Licheng Jiao, Xiangrong Zhang: Attention Multibranch Convolutional Neural Network for Hyperspectral Image Classification Based on Adaptive Region Search. IEEE Trans. Geosci. Remote. Sens. 59(6): 5054-5070 (2021) [code] (ESI Most-Cited Paper)
  19. Jie Feng*, Xueliang Feng, Jiantong Chen, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Tao Yu, Generative adversarial networks based on collaborative learning and attention mechanism for hyperspectral image classification[J]. Remote Sensing, 2020, 12(1149): 1:26. [pdf] [code] (ESI Most-Cited Paper)
  20. Jie Feng*, Yuping Liang, Dening Zeng, Zhanwei Ye, Xiande Wu, Xiangrong Zhang, Xu Tang. Small object detection in optical remote sensing video with motion guided R-CNN. IGARSS, 2020.
  21. Jie Feng*, Zhanwei Ye, Di Li, Yuping Liang, Xu Tang, Xiangrong Zhang. Hyperspectral image classification based on semi-supervised dual-branch convolutional autoencoder with self-attention. IGARSS, 2020.
  22. Jie Feng*, Haipeng Yu, Lin Wang, Xianghai Cao, Xiangrong Zhang, Licheng Jiao. Classification of hyperspectral images based on multiclass spatial-spectral generative adversarial networks. IEEE Transactions on Geoscience and Remote Sensing, 2019. 8(57): 5329-5343. [pdf] [code]
  23. Jie Feng*, Jiantong Chen, Liguo Liu, Xianghai Cao, Xiangrong Zhang, Licheng Jiao, Tao Yu. CNN-based multil[ant]ayer spatial-spectral feature fusion and sample augmentation with local and nonlocal constraints for hyperspectral image classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019. 12(4): 1299-1313. [pdf] [code]
  24. Jie Feng*, Lin Wang, Haipeng Yu, Licheng Jiao, Xiangrong Zhang. Divide-and-conquer dual-architecture convolutional neural network for classification of hyperspectral images[J]. Remote Sensing, 2019, 11(484): 1:26. [pdf] 
  25. Chenhong Sui, Chang Li, Jie Feng, Xiaoguang Mei. Unsupervised manifold-preserving and weakly redundant band selection method for hyperspectral imagery. IEEE Transactions on Geoscience and Remote Sensing. 2019, 58(2): 1156-1170.
  26. Xianghai Cao, Cuicui Wei, Yiming Ge, Jie Feng, Jing Zhao, Licheng Jiao. Semi-supervised hyperspectral band selection based on dynamic classifier selection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019. 12(4), 1289-1298.
  27. Yiguo Qiao, Licheng Jiao, Shuyuan Yang, Biao Hou, Jie Feng. Color correction and depth-based hierarchical hole filling in free viewpoint generation. IEEE Transactions on Broadcasting. 2019.
  28. Jie Feng*, Di Li, Jiantong Chen, Xiangrong Zhang, Xu Tang, Xiande Wu.Hyperspectral band selection based on ternary weight convolutional neural network. IGARSS, 2019.
  29. Jie Feng*, Xiande Wu, Jiantong Chen, Xiangrong Zhang, Xu Tang, Di Li. Joint multilayer spatial-spectral classification of hyperspectral images based on CNN and ConvLSTM. IGARSS, 2019.
  30. Jie Feng*, Liguo Liu, Xianghai Cao, Licheng Jiao, Tao Sun, Xiangrong Zhang. Marginal stacked autoencoder with adaptively-spatial regularization for hyperspectral image classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(9): 3297-3311.
  31. Xiangrong Zhang, Chen Li, Jingyan Zhang, Qimeng Chen, Jie Feng*, Licheng Jiao and Huiyu Zhou. Hyperspectral Unmixing via Low-rank Representation with Space Consistency Constraint and Spectral Library Pruning.Remote Sensing, 2018, 10(2): 339-354.
  32. Xianghai Cao, Renjie Li, Li Wen, Jie Feng, Licheng Jiao. Deep multiple feature fusion for hyperspectral image classification [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2018, 11(10): 3880-3891.
  33. Jinliang An, Xiangrong Zhang, Huiyu Zhou, Jie Feng, Licheng Jiao. Patch Tensor-based sparse and low-rank graph for hyperspectral images dimensionality reduction[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(7): 2513-2527.
  34. Xiangrong Zhang, Chen Li, Jingyan Zhang, Qimeng Chen, Jie Feng, Licheng Jiao, Huiyu Zhou. Hyperspectral unmixing via low-rank representation with space consistency constraint and spectral library pruning[J]. Remote Sensing, 2018, 10(2): 339.
  35. Jie Feng*, Liguo Liu, Xiangrong Zhang, Rongfang Wang, Hongying Liu. Hyperspectral image classification based on stacked marginal discriminative autoencoder [C]. IGARSS, 2017.
  36. Jie Feng*, Licheng Jiao, Fang Liu, Tao Sun, Xiangrong Zhang. Unsupervised feature selection based on maximum information and minimum redundancy for hyperspectral images [J]. Pattern Recognition. 2016, 51(1), 295-309.
  37. Jie Feng*, Licheng Jiao, Tao Sun, Hongying Liu, Xiangrong Zhang. Multiple kernel learning based on discriminative kernel clustering for hyperspectral band selection [J]. IEEE Transactions on Geoscience and Remote Sensing. 2016, 54(11): 6516-6530.
  38. 孙涛，冯婕. 快速随机多核学习分类算法 [J]. 西安电子科技大学学报（自然科学版）. 2016, 43(1): 36-40.
  39. Ronghua Shang, Pingping Tian, Licheng Jiao, Rustam Stolkin, Jie Feng. A spatial fuzzy clustering algorithm with kernel metric based on immune clone for SAR image segmentation [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016, 9(4): 1640-1652.
  40. Hongying Liu, Yikai Wang, Shuyuan Yang, Shuang Wang, Jie Feng, Licheng Jiao. Large Polarimetric SAR data semi-supervised classification with spatial-anchor graph [J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2016, 9(4): 1439-1458.
  41. Hongying Liu, Qiang Min, Chen Sun, Jin Zhao, Shuyuan Yang, Biao Hou, Jie Feng, Licheng Jiao. Terrain classification with polarimetric based on deep sparse filtering network [C]. IGRASS, 2016.
  42. Jie Feng*, Licheng Jiao, Fang Liu, Tao Sun, Xiangrong Zhang. Mutual-information-based semi-supervised hyperspectral band selection with high discrimination, high information, and low redundancy. IEEE Transactions on Geoscience and Remote Sensing. 2015, 53(5): 2956-2969.
  43. Licheng Jiao, Jie Feng*, Fang Liu, Tao Sun, Xiangrong Zhang. Semi-supervised affinity propagation based on normalized trivariate mutual information for hyperspectral band selection. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2015, 8(6): 2760-2773.
  44. Tao Sun, Licheng Jiao, Jie Feng, Fang Liu. Imbalanced hyperspectral image classification based on maximum margin. IEEE Geoscience and Remote Sensing Letters. 2015, 12(3): 522-526.
  45. Jie Feng*, Licheng Jiao, Xiangrong Zhang, Tao Sun. Hyperspectral band selection based on trivariate mutual information and clonal selection. IEEE Transactions on Geoscience and Remote Sensing. 2014, 52(7): 4092-4105.
  46. Miaoyun Zhao, Licheng Jiao, Jie Feng, Tianyu Liu. A simplified low rank and sparse graph for semi-supervised learning. Neurocomputing. 2014, 140(22): 84-96.
  47. Jie Feng*, Licheng Jiao, Xiangrong Zhang, Maoguo Gong, Tao Sun. Robust non-local fuzzy c-means algorithm with edge preservation for SAR image segmentation. Signal Processing. 2013, 93(2): 487-499.
  48. Tao Sun, Licheng Jiao, Fang Liu, Shuang Wang, Jie Feng*. Selective multiple kernel learning for classification with ensemble strategy [J]. Pattern Recognition. 2013, 46(11): 3081-3090.
  49. 张向荣，缑丽敏，李阳阳，冯婕，焦李成. 基于免疫克隆高斯过程隐变量模型的SAR目标特征提取与识别. 红外与毫米波学报. 2013, 32(3): 231-236.
  50. Xiangrong Zhang, Peng Weng, Jie Feng, Erlei Zhang, Biao Hou. Spatial-spectral classification based on group sparse coding for hyperspectral image. IGRASS, 2013.
  51. Xiangrong Zhang, Licheng Jiao, Sisi Zhou, Nan Zhou, Jie Feng. Adaptive multi-parameter spectral feature analysis for SAR target recognition. Optical Engineering. 2012, 51(8).
  52. Xiangrong Zhang, Yaoguo Zheng, Jie Feng, Shuiping Gou. SAR image change detection based on low rank matrix decomposition. IGRASS, 2012.
  53. Jie Feng*, Licheng Jiao, Xiangrong Zhang, Dongdong Yang. Bag-of-visual-words based on clonal selection algorithm for SAR image classification. IEEE Geoscience and Remote Sensing Letters. 2011, 8(4): 691-692.
  54. Jie Feng*, Licheng Jiao, Xiangrong Zhang, Ruican Niu. An effective bag-of-visual-words framework for SAR image classification. The seventh SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR, 2011.
  55. Xiangrong Zhang, Zhengli Wei, Jie Feng, Licheng Jiao. Sparse representation based spectral clustering for SAR image segmentation. The seventh SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR, 2011.
  56. Ruican Niu, Licheng Jiao, Guiting Wang, Jie Feng. SAR image chang detection using watershed and spectral clustering. The seventh SPIE International Symposium on Multispectral Image Processing and Pattern Recognition, MIPPR, 2011.
  57. Dongdong Yang, Licheng Jiao, Maoguo Gong, Jie Feng. Adaptive ranks clone and k-nearest neighbor list-based immune multi-objective optimization. Computational Intelligence. 2010, 26(4): 359-385.
国家发明专利

  1. 冯婕、焦李成、屈嵘、刘帅、王爽等，基于低阶互信息和光谱上下文波段选择的高光谱分类方法、国家发明专利，ZL201510233088.6.

  1. 冯婕、焦李成、刘立国、吴建设、熊涛等，基于近邻传播聚类和稀疏多核学习的高光谱图像分类方法，国家发明专利，ZL201610218082.6.

  2. 冯婕、刘立国、焦李成、王蓉芳、张向荣等，基于栈式边界辨别自编码器的高光谱图像分类方法，国家发明专利，201710240257.8.

  3. 冯婕、王琳、刘立国、焦李成、张向荣等，基于熵率超像素分割的自编码器的高光谱图像分类方法，国家发明专利，201710827902.6.

  1. 冯婕、冯雪亮、陈建通、焦李成、张向荣等，协作生成对抗网络和空谱联合的高光谱图像分类方法，国家发明专利，201810977887.8.

  1. 冯婕、陈建通、冯雪亮、焦李成、张向荣等，基于可分离卷积和硬阈值函数的高光谱波段选择方法，国家发明专利，201810943367.5.

  2. 冯婕、于海鹏、焦李成、张向荣、王蓉芳等，基于多类生成对抗网络的高光谱图像分类方法，国家发明专利，201810548520.4.

  3. 冯婕、曾德宁、焦李成，张向荣，曹向海等，基于边界约束CenterNet的遥感目标检测方法，国家发明专利，201919312101.7

  4. 冯婕、吴贤德、李迪、焦李成、张向荣等，基于联合多级空谱信息CNN的高光谱图像分类方法，国家发明专利，201910300993.7

  5. 冯婕、李迪、吴贤德、焦李成、张向荣、王蓉芳等，基于三元权值卷积神经网络的高光谱图像波段选择方法，国家发明专利，201910369127.3

学术专著

焦李成，冯婕，刘芳，杨淑媛，张向荣，高分辨遥感影像学习与感知，40万字，科学出版社，2017年3月。

张向荣，冯婕，刘芳，焦李成，模式识别，30万字，西安电子科技大学出版社，2019年9月。

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